[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives

MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

[HTML][HTML] Artificial intelligence and inflammatory bowel disease: Where are we going?

L Da Rio, M Spadaccini, TL Parigi… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and
relapsing conditions that pose a growing burden on healthcare systems worldwide. Because …

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

R López-Aladid, L Fernández-Barat… - Scientific reports, 2023 - nature.com
Abstract 16S rRNA gene profiling, which contains nine hypervariable regions (V1–V9), is the
gold standard for identifying taxonomic units by high-throughput sequencing. Microbiome …

Gut microbiota-based machine-learning signature for the diagnosis of alcohol-associated and metabolic dysfunction-associated steatotic liver disease

I Park, SJ Yoon, S Won, KK Oh, JY Hyun, KT Suk… - Scientific Reports, 2024 - nature.com
Alcoholic-associated liver disease (ALD) and metabolic dysfunction-associated steatotic
liver disease (MASLD) show a high prevalence rate worldwide. As gut microbiota represents …

[HTML][HTML] Perceptions of US medical students on artificial intelligence in medicine: mixed methods survey study

DS Liu, J Sawyer, A Luna, J Aoun, J Wang… - JMIR Medical …, 2022 - mededu.jmir.org
Background: Given the rapidity with which artificial intelligence is gaining momentum in
clinical medicine, current physician leaders have called for more incorporation of artificial …

[HTML][HTML] Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology

CD Christou, G Tsoulfas - World journal of gastroenterology, 2021 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …

The role of gut microbiome in inflammatory bowel disease diagnosis and prognosis

J Zheng, Q Sun, J Zhang, SC Ng - United European …, 2022 - Wiley Online Library
Inflammatory bowel disease (IBD) is a chronic immune‐mediated intestinal disease
consisting of ulcerative colitis and Crohn's disease. Inflammatory bowel disease is believed …

A systematic review of artificial intelligence and machine learning applications to inflammatory bowel disease, with practical guidelines for interpretation

IS Stafford, MM Gosink, E Mossotto… - Inflammatory Bowel …, 2022 - academic.oup.com
Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease

Y Lee, M Cappellato, B Di Camillo - GigaScience, 2023 - academic.oup.com
Background Biomarker discovery exploiting feature importance of machine learning has
risen recently in the microbiome landscape with its high predictive performance in several …

Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence

AL Cannarozzi, A Latiano, L Massimino… - United European …, 2024 - Wiley Online Library
Various extrinsic and intrinsic factors such as drug exposures, antibiotic treatments,
smoking, lifestyle, genetics, immune responses, and the gut microbiome characterize …